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At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Job Title: Manager, Data Science – Analytics
Job Location: Bangalore, India
eBay Memory - Ranking & Retrieval
About the team and the role:
At eBay, we are building the most personalized global marketplace, powered by eBay Memory, an AI-driven system that continuously learns buyer and seller preferences across surfaces. Buyers will feel “understood” and sellers will reach the right audience effortlessly.
We are looking for a Data Scientist to support the most critical components in eBay Memory - Ranking & Retrieval in Search. In this role, you will focus on optimizing eBay’s personalized and contextualized search experience, driving relevant connections between buyers and sellers. You will have the outstanding opportunity to shape the eBay Memory roadmap through your insights, experimentation, and thought leadership. Your work will directly influence how millions of people discover and interact with items on eBay.
With a vision to uncover chances to drive ground-breaking change in the customer experience, we mine the largest e-Commerce datasets. We use outstanding analytic and big data techniques to extract impactful insights that result in significant business growth. We achieve this by working closely with the product and engineering teams, and resolve opportunities that are accretive to the product roadmaps.
Responsibilities:
Conduct, analyze, and deep dive into A/B tests and provide actionable recommendations on improving the search features.
Perform statistical analysis and modelling of customer’s behavioral data to find opportunities to build new search features solving for key problems in search user journey
Identify new growth opportunities and provide actionable recommendations by bringing to bear insights across behavioral data, customer research and data science.
Decode and validate web tracking to analyze user behaviors around new features.
Create evaluation methods to measure product success and guide product roadmap.
Drive self-serve for commonly used metrics by building dashboards and onboarding metrics to Experimentation Platform.
To be successful in this role:
Master’s degree in Statistics, Applied Econometrics, Math, Physics, Computer Science, Economics, Engineering or other related core sciences or equivalent.
6+ years relevant professional experience.
Experience with site experimentation (A/B testing).
You would have to strike a balance between critical thinking and actual hands-on analyses using tools & packages such as SQL, R, Python, Tableau etc.
You possess super strong technical skills to turn big data in Hadoop into practical insights. At the same time, you also have the ability to think about the big picture and connect the dots to evaluate how the insights impact eBay’s ecosystem.
In addition to delivering insights on existing Product & Tech initiatives, you will come up with innovative product growth opportunities based on insights, and build momentum through influence.
Proactive teamwork and effective communication are needed.
Flexible and capable of working across multiple time zones.
Additionally, the following background and experience is preferred:
Prior experience in Search and understand how a search engine works.
Proven track record of turning insights into product growth opportunities in prior roles with growing scope and responsibilities.
Ability to present sophisticated analyses and insights optimally in simple terms.
Good experience with both descriptive and inferential statistics.
Experience in a leading technology company.
Background in e-commerce product experience.
Experience with Natural Language Processing or LLM/GenAI is a plus.
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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